Rebecca Dikow is a Research Data Scientist and leads the Smithsonian Institution Data Science Lab. She is working with Smithsonian scientists to conduct data-intensive research, including in the areas of biodiversity genomics and machine learning. She has a B.S. in Biology from Cornell University and a Ph.D. in Evolutionary Biology from the University of Chicago. She is also an affiliated faculty member in the George Mason University School of Systems Biology. The Data Science Lab works with Smithsonian researchers to use big-data techniques, such as deep machine learning, to generate insights from their data, whether they are derived from genome sequencing, ecological sensors, or digitized museum objects and archives.